Master’s Thesis

Master’s Thesis

Quantum Optimization

Ref. 2026_016

We are offering a master thesis at IBM Research Europe - Zurich, focused on exploring novel quantum algorithms for optimization. This thesis is part of an exciting initiative aimed at advancing the frontiers of science and engineering, with the goal of achieving quantum advantage for practically relevant problems in optimization.

Quantum computing has the potential to transform how we approach some of the most challenging computational problems. Our Applied Quantum Science group develops algorithms that combine quantum computing, classical computing, and AI to transform application domains such as optimization.

As a master student in our team, you will contribute to the design and analysis of quantum optimization algorithms - both theoretically and empirically - test them on IBM Quantum hardware, explore the integration of quantum computing with AI and classical computing / HPC, and help chart the course toward quantum advantage for real-world problems.

Why Join Us?

You will join a world-class research environment and collaborate closely with experienced researchers at IBM Research and have access to state-of-the-art quantum hardware and software platforms, as well as high-performance classical computing resources. Our environment encourages innovation, and we actively support students in filing patents and publishing in top conferences and journals.

Preferred Qualifications

• Bachelor’s degree in physics, computer science, mathematics, or a related technical field
• Strong programming skills (e.g., Python, C/C++, Rust)
• Experience with quantum programming frameworks (e.g., Qiskit)
• Background in one or more of the following domains: quantum information theory, quantum algorithms, (combinatorial) optimization, machine learning/AI, or computational physics
• Excellent communication skills in English
• Team-oriented, self-motivated, and able to work independently
  
  

Diversity & Work Environment

IBM is committed to fostering diversity and inclusion in the workplace. You will join an open, multicultural research environment that values different perspectives and supports flexible working arrangements. Our goal is to help all genders and backgrounds thrive professionally while maintaining a healthy work-life balance.

How to Apply

If you are interested in this position, please submit your application through the link below.